{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7a731e3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "deployment = \"gpt4\"\n",
    "model = \"gpt-4\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5414e77",
   "metadata": {},
   "source": [
    "# 代码生成与验证"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e74ff15b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openai\n",
    "def work_on(input):\n",
    "    response = openai.ChatCompletion.create(\n",
    "        engine=deployment, # 如果直接访问OpenAI GPT服务的同学，这里不要使用engine这个参数，要使用model，如： model=“gpt-4”\n",
    "        messages=[\n",
    "            {\"role\": \"system\", \"content\": \"You are a software engineer.\"},   \n",
    "            {\"role\": \"user\", \"content\": input}\n",
    "        ],\n",
    "        temperature = 0.9, \n",
    "        max_tokens = 500\n",
    "      )\n",
    "    return response.choices[0].message.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5041f796",
   "metadata": {},
   "outputs": [],
   "source": [
    "prompt = \"\"\"\n",
    "实现一个 Python 函数(find_declarations)以从给定的 Golang 源代码中查找结构/接口声明。\n",
    "\n",
    "该函数需要两个输入参数：\n",
    "1. 包含源文件的目录。\n",
    "2. 由包名称和结构/接口名称组成的 JSON 字符串，格式如下：{“package_name”:<package name>,“element”:<struct/interface>}\n",
    "\n",
    "函数的输出是声明。当未找到请求的结构/接口时，该函数应返回“Not Found”。\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9cc23365",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "因为 Golang 和 Python 的语法及其结构都是有显著差异的，直接解析 Golang 的代码在 Python 中实现会很复杂，这需要用到抽象语法树（AST）相关知识。然而，这种方法在这里可能过于复杂，所以我们将采取一种简化的方法，使用正则表达式搜索结构和接口的声明。\n",
      "\n",
      "以下是 `find_declarations` 函数的一个可能的实现：\n",
      "\n",
      "```python\n",
      "import os\n",
      "import re\n",
      "import json\n",
      "\n",
      "def find_declarations(directory, json_str):\n",
      "    # parse the json string\n",
      "    obj = json.loads(json_str)\n",
      "    package_name = obj['package_name']\n",
      "    element = obj['element']\n",
      "\n",
      "    # traverse the files in the directory\n",
      "    for filename in os.listdir(directory):\n",
      "        if not filename.endswith('.go'):\n",
      "            continue\n",
      "\n",
      "        # read the file\n",
      "        with open(os.path.join(directory, filename)) as f:\n",
      "            content = f.read()\n",
      "\n",
      "        # find the package declaration\n",
      "        match = re.search(r'package\\s+' + re.escape(package_name), content)\n",
      "        if not match:\n",
      "            continue\n",
      "\n",
      "        # find the structure/interface declaration\n",
      "        match = re.search(r'(type\\s+' + re.escape(element) + r'\\s+(struct|interface)\\s*\\{)', content)\n",
      "        if match:\n",
      "            offset = match.end()\n",
      "            braces = 1\n",
      "            while offset < len(content) and braces > 0:\n",
      "                if content[offset] == '{':\n",
      "                    braces += 1\n",
      "                elif content[offset] == '}':\n",
      "                    braces -= 1\n",
      "                offset += 1\n",
      "\n",
      "            # return the declaration\n",
      "            declaration = content[match.start():offset]\n",
      "            return declaration\n",
      "\n",
      "    # not found\n",
      "    return 'Not Found'\n",
      "```\n",
      "\n",
      "请注意，这个函数的正则表达式只能处理简单的情况，在对 Golang 代码有复杂语法结构的情况下可能会失败。如果你需要处理更复杂的 Golang 代码，你可能需要使用 Golang 的抽象语法树（AST）库来正确地解析语法结构。\n"
     ]
    }
   ],
   "source": [
    "print (work_on(prompt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7a531dfb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import json\n",
    "\n",
    "def find_declarations(directory, json_str):\n",
    "    # parse the json string\n",
    "    obj = json.loads(json_str)\n",
    "    package_name = obj['package_name']\n",
    "    element = obj['element']\n",
    "\n",
    "    # traverse the files in the directory\n",
    "    for filename in os.listdir(directory):\n",
    "        if not filename.endswith('.go'):\n",
    "            continue\n",
    "\n",
    "        # read the file\n",
    "        with open(os.path.join(directory, filename)) as f:\n",
    "            content = f.read()\n",
    "\n",
    "        # find the package declaration\n",
    "        match = re.search(r'package\\s+' + re.escape(package_name), content)\n",
    "        if not match:\n",
    "            continue\n",
    "\n",
    "        # find the structure/interface declaration\n",
    "        match = re.search(r'(type\\s+' + re.escape(element) + r'\\s+(struct|interface)\\s*\\{)', content)\n",
    "        if match:\n",
    "            offset = match.end()\n",
    "            braces = 1\n",
    "            while offset < len(content) and braces > 0:\n",
    "                if content[offset] == '{':\n",
    "                    braces += 1\n",
    "                elif content[offset] == '}':\n",
    "                    braces -= 1\n",
    "                offset += 1\n",
    "\n",
    "            # return the declaration\n",
    "            declaration = content[match.start():offset]\n",
    "            return declaration\n",
    "\n",
    "    # not found\n",
    "    return 'Not Found'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "168766fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "src_dir = \"./llm_friendly_code\"\n",
    "interface_dec = '{\"package_name\":\"demo\",\"element\":\"TokenCreator\"}'\n",
    "expected = \"\"\"\n",
    "type TokenCreator interface {\n",
    "\tCreateToken(data string) string\n",
    "}\n",
    "\"\"\"\n",
    "interface_dec1 = '{\"package_name\":\"demo\",\"element\":\"Processor\"}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "03a07409",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Not Found\n"
     ]
    }
   ],
   "source": [
    "print (find_declarations(src_dir, interface_dec1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6e7e7ec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from io import StringIO\n",
    "import sys\n",
    "from typing import Dict, Optional\n",
    "from langchain.chat_models import AzureChatOpenAI\n",
    "from langchain.agents import load_tools\n",
    "from langchain.agents import initialize_agent\n",
    "from langchain.agents.tools import Tool\n",
    "from langchain.llms import OpenAI\n",
    "\n",
    "\n",
    "class PythonREPL:\n",
    "    \"\"\"Simulates a standalone Python REPL.\"\"\"\n",
    "\n",
    "    def __init__(self):\n",
    "        pass        \n",
    "\n",
    "    def run(self, command: str) -> str:\n",
    "        command = '\\n'.join(line for line in command.split('\\n') if not line.startswith('```'))\n",
    "        \"\"\"Run command and returns anything printed.\"\"\"\n",
    "        # sys.stderr.write(\"EXECUTING PYTHON CODE:\\n---\\n\" + command + \"\\n---\\n\")\n",
    "        old_stdout = sys.stdout\n",
    "        sys.stdout = mystdout = StringIO()\n",
    "        try:\n",
    "            exec(command, globals())\n",
    "            sys.stdout = old_stdout\n",
    "            output = mystdout.getvalue()\n",
    "        except Exception as e:\n",
    "            sys.stdout = old_stdout\n",
    "            output = str(e)\n",
    "        # sys.stderr.write(\"PYTHON OUTPUT: \\\"\" + output + \"\\\"\\n\")\n",
    "        return output\n",
    "# from langchain.chat_models import ChatOpenAI #直接访问OpenAI的GPT服务\n",
    "\n",
    "#llm = ChatOpenAI(model_name=\"gpt-4\", temperature=0) #直接访问OpenAI的GPT服务\n",
    "llm = AzureChatOpenAI(deployment_name = deployment, model_name=model, temperature=0, max_tokens=1000) #通过Azure的OpenAI服务\n",
    "\n",
    "python_repl = Tool(\n",
    "        \"Python REPL\",\n",
    "        PythonREPL().run,\n",
    "        \"\"\"A Python shell. Use this to execute python commands. \n",
    "        Input should be a valid python command.\n",
    "        If you expect output it should be printed out.\n",
    "        For example: to verify the the following python function\n",
    "        ---\n",
    "        def add(a, b):\n",
    "            return (a+b)\n",
    "        ---\n",
    "        we can invoke the tool with the input \n",
    "        \"\n",
    "        def add(a, b):\n",
    "            return (a+b)\n",
    "        print (add(1,2))\n",
    "        \n",
    "        \"\n",
    "        \"\"\",\n",
    "    )\n",
    "tools = [python_repl]\n",
    "agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", verbose=True, handle_parsing_errors=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "de5a8d47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello Python\\n'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PythonREPL().run('print(\"Hello Python\")')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "9e57fea1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mThis problem requires me to write a Python function that can parse Golang source code to find structure/interface declarations. The function needs to take in two parameters: a directory containing the source files and a JSON string specifying the package name and the structure/interface name. The function should return the declaration of the structure/interface if it is found, or \"Not Found\" if it is not.\n",
      "\n",
      "To solve this problem, I will need to use the os and json libraries in Python. The os library will allow me to navigate the file system and open files, while the json library will allow me to parse the JSON string.\n",
      "\n",
      "I will also need to write a regular expression to match the structure/interface declaration in the Golang source code. This regular expression will need to account for the possibility of whitespace and comments in the code.\n",
      "\n",
      "The general approach will be to iterate over all the files in the given directory, open each file and read its contents, and then use the regular expression to search for the structure/interface declaration. If the declaration is found, the function will return it. If the declaration is not found in any of the files, the function will return \"Not Found\".\n",
      "\n",
      "I will start by writing the regular expression and testing it to make sure it can correctly match a structure/interface declaration. I will then write the function and test it with the provided example. \n",
      "\n",
      "Action: Python REPL\n",
      "Action Input: \n",
      "```\n",
      "import re\n",
      "\n",
      "# Test regular expression\n",
      "test_string = \"\"\"\n",
      "package demo\n",
      "\n",
      "// TokenCreator is an interface for creating tokens.\n",
      "type TokenCreator interface {\n",
      "\tCreateToken(data string) string\n",
      "}\n",
      "\"\"\"\n",
      "\n",
      "pattern = re.compile(r\"(type\\s+TokenCreator\\s+interface\\s+{[^}]*})\", re.DOTALL)\n",
      "match = pattern.search(test_string)\n",
      "if match:\n",
      "    print(match.group(1))\n",
      "else:\n",
      "    print(\"Not Found\")\n",
      "```\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mtype TokenCreator interface {\n",
      "\tCreateToken(data string) string\n",
      "}\n",
      "\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe regular expression correctly matched the interface declaration in the test string. Now I will write the find_declarations function. This function will take in a directory and a JSON string as parameters. It will parse the JSON string to get the package name and the structure/interface name. It will then iterate over all the files in the directory, open each file and read its contents, and use the regular expression to search for the structure/interface declaration. If the declaration is found, the function will return it. If the declaration is not found in any of the files, the function will return \"Not Found\".\n",
      "\n",
      "Action: Python REPL\n",
      "Action Input: \n",
      "```\n",
      "import os\n",
      "import json\n",
      "import re\n",
      "\n",
      "def find_declarations(directory, json_string):\n",
      "    # Parse JSON string\n",
      "    data = json.loads(json_string)\n",
      "    package_name = data[\"package_name\"]\n",
      "    element = data[\"element\"]\n",
      "\n",
      "    # Compile regular expression\n",
      "    pattern = re.compile(r\"(type\\s+\" + re.escape(element) + r\"\\s+interface\\s+{[^}]*})\", re.DOTALL)\n",
      "\n",
      "    # Iterate over all files in directory\n",
      "    for root, dirs, files in os.walk(directory):\n",
      "        for file in files:\n",
      "            # Open file and read contents\n",
      "            with open(os.path.join(root, file), \"r\") as f:\n",
      "                contents = f.read()\n",
      "\n",
      "                # Search for declaration\n",
      "                match = pattern.search(contents)\n",
      "                if match:\n",
      "                    return match.group(1)\n",
      "\n",
      "    # Return \"Not Found\" if declaration was not found in any file\n",
      "    return \"Not Found\"\n",
      "\n",
      "# Test function\n",
      "print(find_declarations(\"./llm_friendly_code\", '{\"package_name\":\"demo\",\"element\":\"TokenCreator\"}'))\n",
      "```\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m'utf-8' codec can't decode byte 0x80 in position 3131: invalid start byte\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe error message indicates that the function is trying to open a file that is not a text file. This could be a binary file or a file in a different encoding. To fix this, I will modify the function to skip files that it cannot open as text files.\n",
      "\n",
      "Action: Python REPL\n",
      "Action Input: \n",
      "```\n",
      "def find_declarations(directory, json_string):\n",
      "    # Parse JSON string\n",
      "    data = json.loads(json_string)\n",
      "    package_name = data[\"package_name\"]\n",
      "    element = data[\"element\"]\n",
      "\n",
      "    # Compile regular expression\n",
      "    pattern = re.compile(r\"(type\\s+\" + re.escape(element) + r\"\\s+interface\\s+{[^}]*})\", re.DOTALL)\n",
      "\n",
      "    # Iterate over all files in directory\n",
      "    for root, dirs, files in os.walk(directory):\n",
      "        for file in files:\n",
      "            # Open file and read contents\n",
      "            try:\n",
      "                with open(os.path.join(root, file), \"r\") as f:\n",
      "                    contents = f.read()\n",
      "\n",
      "                    # Search for declaration\n",
      "                    match = pattern.search(contents)\n",
      "                    if match:\n",
      "                        return match.group(1)\n",
      "            except UnicodeDecodeError:\n",
      "                # Skip files that are not text files\n",
      "                continue\n",
      "\n",
      "    # Return \"Not Found\" if declaration was not found in any file\n",
      "    return \"Not Found\"\n",
      "\n",
      "# Test function\n",
      "print(find_declarations(\"./llm_friendly_code\", '{\"package_name\":\"demo\",\"element\":\"TokenCreator\"}'))\n",
      "```\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mtype TokenCreator interface {\n",
      "    CreateToken(data string) string\n",
      "}\n",
      "\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe function is now working correctly. It successfully found the interface declaration in the test directory. The function is also robust to files that it cannot open as text files, as it will simply skip these files and continue with the next file. I am now confident in my final answer.\n",
      "\n",
      "Final Answer: \n",
      "```\n",
      "import os\n",
      "import json\n",
      "import re\n",
      "\n",
      "def find_declarations(directory, json_string):\n",
      "    # Parse JSON string\n",
      "    data = json.loads(json_string)\n",
      "    package_name = data[\"package_name\"]\n",
      "    element = data[\"element\"]\n",
      "\n",
      "    # Compile regular expression\n",
      "    pattern = re.compile(r\"(type\\s+\" + re.escape(element) + r\"\\s+interface\\s+{[^}]*})\", re.DOTALL)\n",
      "\n",
      "    # Iterate over all files in directory\n",
      "    for root, dirs, files in os.walk(directory):\n",
      "        for file in files:\n",
      "            # Open file and read contents\n",
      "            try:\n",
      "                with open(os.path.join(root, file), \"r\") as f:\n",
      "                    contents = f.read()\n",
      "\n",
      "                    # Search for declaration\n",
      "                    match = pattern.search(contents)\n",
      "                    if match:\n",
      "                        return match.group(1)\n",
      "            except UnicodeDecodeError:\n",
      "                # Skip files that are not text files\n",
      "                continue\n",
      "\n",
      "    # Return \"Not Found\" if declaration was not found in any file\n",
      "    return \"Not Found\"\n",
      "```\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "```\n",
      "import os\n",
      "import json\n",
      "import re\n",
      "\n",
      "def find_declarations(directory, json_string):\n",
      "    # Parse JSON string\n",
      "    data = json.loads(json_string)\n",
      "    package_name = data[\"package_name\"]\n",
      "    element = data[\"element\"]\n",
      "\n",
      "    # Compile regular expression\n",
      "    pattern = re.compile(r\"(type\\s+\" + re.escape(element) + r\"\\s+interface\\s+{[^}]*})\", re.DOTALL)\n",
      "\n",
      "    # Iterate over all files in directory\n",
      "    for root, dirs, files in os.walk(directory):\n",
      "        for file in files:\n",
      "            # Open file and read contents\n",
      "            try:\n",
      "                with open(os.path.join(root, file), \"r\") as f:\n",
      "                    contents = f.read()\n",
      "\n",
      "                    # Search for declaration\n",
      "                    match = pattern.search(contents)\n",
      "                    if match:\n",
      "                        return match.group(1)\n",
      "            except UnicodeDecodeError:\n",
      "                # Skip files that are not text files\n",
      "                continue\n",
      "\n",
      "    # Return \"Not Found\" if declaration was not found in any file\n",
      "    return \"Not Found\"\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "prompt_1 = prompt + f\"\\n 给出回答前请用以下例子测试生成的函数:\\n 函数输入：{src_dir}, {interface_dec}; 函数输出：{expected}\"\n",
    "print(agent.run(prompt_1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "01e1e327",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "import re\n",
    "\n",
    "def find_declarations(directory, json_string):\n",
    "    # Parse JSON string\n",
    "    data = json.loads(json_string)\n",
    "    package_name = data[\"package_name\"]\n",
    "    element = data[\"element\"]\n",
    "\n",
    "    # Compile regular expression\n",
    "    pattern = re.compile(r\"(type\\s+\" + re.escape(element) + r\"\\s+interface\\s+{[^}]*})\", re.DOTALL)\n",
    "\n",
    "    # Iterate over all files in directory\n",
    "    for root, dirs, files in os.walk(directory):\n",
    "        for file in files:\n",
    "            # Open file and read contents\n",
    "            try:\n",
    "                with open(os.path.join(root, file), \"r\") as f:\n",
    "                    contents = f.read()\n",
    "\n",
    "                    # Search for declaration\n",
    "                    match = pattern.search(contents)\n",
    "                    if match:\n",
    "                        return match.group(1)\n",
    "            except UnicodeDecodeError:\n",
    "                # Skip files that are not text files\n",
    "                continue\n",
    "\n",
    "    # Return \"Not Found\" if declaration was not found in any file\n",
    "    return \"Not Found\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f15859d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "type TokenCreator interface {\n",
      "    CreateToken(data string) string\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "print (find_declarations(src_dir, interface_dec))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e4a08582",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "type Storage interface {\n",
      "\t// RetiveData is to retrive the data by the associated token.\n",
      "\tRetieveData(token string) (string, error)\n",
      "\n",
      "\t// StoreData is to persist the data,\n",
      "\t// input paramters:\n",
      "\t//   token is used to retrive the associated data\n",
      "\t//\n",
      "\tStoreData(token string, data string) error\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "interface_dec = '{\"package_name\":\"demo\",\"element\":\"Storage\"}'\n",
    "print (find_declarations(src_dir, interface_dec))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b59a9798",
   "metadata": {},
   "source": [
    "# 解决依赖问题"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d450c7ae",
   "metadata": {},
   "source": [
    "## 本地文件搜索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "06ba037d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.agents import initialize_agent, Tool\n",
    "from langchain.chat_models import AzureChatOpenAI\n",
    "from langchain.chains import LLMRequestsChain\n",
    "from langchain.chains import LLMChain\n",
    "from langchain.prompts import PromptTemplate\n",
    "from langchain.chains import RetrievalQA\n",
    "from langchain.llms import AzureOpenAI\n",
    "import time\n",
    "import os\n",
    "import json\n",
    "import re\n",
    "\n",
    "src_dir = \"./llm_friendly_code\"\n",
    "\n",
    "def find_declarations(directory, json_string):\n",
    "    # Parse the JSON string\n",
    "    json_data = json.loads(json_string)\n",
    "    package_name = json_data[\"package_name\"]\n",
    "    element_name = json_data[\"element\"]\n",
    "\n",
    "    # Regular expression to match structure/interface declarations\n",
    "    regex = re.compile(r\"(type\\s+\" + element_name + r\"\\s+(struct|interface)\\s+{\\s+[^}]*\\s+})\")\n",
    "\n",
    "    # Read the source files in the directory\n",
    "    for root, dirs, files in os.walk(directory):\n",
    "        for file in files:\n",
    "            if file.endswith(\".go\"):\n",
    "                with open(os.path.join(root, file), \"r\") as f:\n",
    "                    content = f.read()\n",
    "                    # Check if the file is in the correct package\n",
    "                    if \"package \" + package_name in content:\n",
    "                        # Search for the structure/interface declaration\n",
    "                        match = regex.search(content)\n",
    "                        if match:\n",
    "                            return match.group(1)\n",
    "\n",
    "    return \"Not Found\"\n",
    "\n",
    "def get_dep(json_string):\n",
    "    return find_declarations(src_dir, json_string)\n",
    "\n",
    "# from langchain.chat_models import ChatOpenAI #直接访问OpenAI的GPT服务\n",
    "\n",
    "#llm = ChatOpenAI(model_name=\"gpt-4\", temperature=0) #直接访问OpenAI的GPT服务\n",
    "llm = AzureChatOpenAI(deployment_name = deployment, model_name=model, temperature=0, max_tokens=1000) #通过Azure的OpenAI服务\n",
    "\n",
    "\n",
    "# 将“依赖获取”工具添加到 ReAct 过程中    \n",
    "tools = [\n",
    "    Tool(\n",
    "        name=\"find_declarations\", func=get_dep,\n",
    "        description=\"\"\"Only invoke it when you need to find the declaration of the interface/struct/method that is not in the given code. \n",
    "        The input is a JSON string includes package name and the struct/interface name, \n",
    "          and its the format {{\"package_name\":<package name>,\"element\":<struct/interface>}}\n",
    "        \"\"\")\n",
    "]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ce6a2331",
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_code(input):\n",
    "    agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", handle_parsing_errors=True, max_iterations=10, verbose=True)\n",
    "    print(agent.run(input))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "704a0601",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mFirst, I need to know what methods are in the demo.TokenCreator interface. \n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"TokenCreator\"} \u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mtype TokenCreator interface {\n",
      "\tCreateToken(data string) string\n",
      "}\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mI now know the final answer\n",
      "Final Answer: \n",
      "Here is a simple implementation of the `demo.TokenCreator` interface in Go. This implementation uses the `github.com/google/uuid` package to generate a UUID for the token.\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"github.com/google/uuid\"\n",
      ")\n",
      "\n",
      "type MyTokenCreator struct{}\n",
      "\n",
      "func (m *MyTokenCreator) CreateToken(data string) string {\n",
      "\treturn data + \"-\" + uuid.New().String()\n",
      "}\n",
      "```\n",
      "\n",
      "In this code, `MyTokenCreator` is a struct that implements the `TokenCreator` interface from the `demo` package. The `CreateToken` method concatenates the input data with a newly generated UUID to create a token.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "Here is a simple implementation of the `demo.TokenCreator` interface in Go. This implementation uses the `github.com/google/uuid` package to generate a UUID for the token.\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"github.com/google/uuid\"\n",
      ")\n",
      "\n",
      "type MyTokenCreator struct{}\n",
      "\n",
      "func (m *MyTokenCreator) CreateToken(data string) string {\n",
      "\treturn data + \"-\" + uuid.New().String()\n",
      "}\n",
      "```\n",
      "\n",
      "In this code, `MyTokenCreator` is a struct that implements the `TokenCreator` interface from the `demo` package. The `CreateToken` method concatenates the input data with a newly generated UUID to create a token.\n"
     ]
    }
   ],
   "source": [
    "write_code(\n",
    "\"\"\"\n",
    " You are a very senior golang programmer.\n",
    " Write the golang code to implement the demo.TokenCreator interface.\n",
    " The implementation is to generate the token with uuid and its package is demo\n",
    "\"\"\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2e64c108",
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_file(file_path):\n",
    "    with open(file_path, 'r') as file:\n",
    "        content = file.read()\n",
    "    return content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "eabe48a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_unit_tests(filepath):\n",
    "    agent = initialize_agent(tools, llm, agent=\"zero-shot-react-description\", handle_parsing_errors=True, max_iterations=10, verbose=True)\n",
    "    return (agent.run(\"\"\"\n",
    "    You are a very senior golang programmer.\n",
    "    Please, follow the instructions:\n",
    "     1. consider on the edge cases and errors\n",
    "     2. make sure the generated unit test code in the same package as the tested code.\n",
    "    write an unit tests for the following code: \\n ---\"\"\" + read_file(filepath)\n",
    "     ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7c616c4c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mI need to write unit tests for the methods Process and Retrieve of the ProcessingServiceImpl struct. To do this, I need to understand the interfaces Processor, TokenCreator, and Storage. I will use the find_declarations tool to find the declarations of these interfaces.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"Processor\"}\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mtype Processor interface {\n",
      "\t// Process is to the raw data\n",
      "\tProcess(raw string) (string, error)\n",
      "}\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe Processor interface has a Process method that takes a string as input and returns a string and an error. Now I will find the declaration of the TokenCreator interface.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"TokenCreator\"}\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mtype TokenCreator interface {\n",
      "\tCreateToken(data string) string\n",
      "}\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe TokenCreator interface has a CreateToken method that takes a string as input and returns a string. Now I will find the declaration of the Storage interface.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"Storage\"}\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mtype Storage interface {\n",
      "\t// RetiveData is to retrive the data by the associated token.\n",
      "\tRetieveData(token string) (string, error)\n",
      "\n",
      "\t// StoreData is to persist the data,\n",
      "\t// input paramters:\n",
      "\t//   token is used to retrive the associated data\n",
      "\t//\n",
      "\tStoreData(token string, data string) error\n",
      "}\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe Storage interface has two methods: RetrieveData and StoreData. RetrieveData takes a string as input and returns a string and an error. StoreData takes two strings as input and returns an error. Now I can write the unit tests for the methods Process and Retrieve of the ProcessingServiceImpl struct.\n",
      "Final Answer: \n",
      "Here is the unit test code for the ProcessingServiceImpl struct:\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"errors\"\n",
      "\t\"testing\"\n",
      "\n",
      "\t\"github.com/stretchr/testify/assert\"\n",
      "\t\"github.com/stretchr/testify/mock\"\n",
      ")\n",
      "\n",
      "type MockProcessor struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockProcessor) Process(raw string) (string, error) {\n",
      "\targs := m.Called(raw)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "type MockTokenCreator struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockTokenCreator) CreateToken(data string) string {\n",
      "\targs := m.Called(data)\n",
      "\treturn args.String(0)\n",
      "}\n",
      "\n",
      "type MockStorage struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockStorage) RetieveData(token string) (string, error) {\n",
      "\targs := m.Called(token)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "func (m *MockStorage) StoreData(token string, data string) error {\n",
      "\targs := m.Called(token, data)\n",
      "\treturn args.Error(0)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Process(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\traw := \"raw data\"\n",
      "\tprocessed := \"processed data\"\n",
      "\ttoken := \"token\"\n",
      "\n",
      "\tprocessor.On(\"Process\", raw).Return(processed, nil)\n",
      "\ttokenCreator.On(\"CreateToken\", processed).Return(token)\n",
      "\tstorage.On(\"StoreData\", token, processed).Return(nil)\n",
      "\n",
      "\tresult, err := service.Process(raw)\n",
      "\n",
      "\tassert.NoError(t, err)\n",
      "\tassert.Equal(t, token, result)\n",
      "\n",
      "\tprocessor.AssertExpectations(t)\n",
      "\ttokenCreator.AssertExpectations(t)\n",
      "\tstorage.AssertExpectations(t)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Process_Error(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\traw := \"raw data\"\n",
      "\terrExpected := errors.New(\"error\")\n",
      "\n",
      "\tprocessor.On(\"Process\", raw).Return(\"\", errExpected)\n",
      "\n",
      "\t_, err := service.Process(raw)\n",
      "\n",
      "\tassert.Error(t, err)\n",
      "\tassert.Equal(t, errExpected, err)\n",
      "\n",
      "\tprocessor.AssertExpectations(t)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Retrieve(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\ttoken := \"token\"\n",
      "\tdata := \"data\"\n",
      "\n",
      "\tstorage.On(\"RetieveData\", token).Return(data, nil)\n",
      "\n",
      "\tresult, err := service.Retrieve(token)\n",
      "\n",
      "\tassert.NoError(t, err)\n",
      "\tassert.Equal(t, data, result)\n",
      "\n",
      "\tstorage.AssertExpectations(t)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Retrieve_Error(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\ttoken := \"token\"\n",
      "\terrExpected := errors.New(\"error\")\n",
      "\n",
      "\tstorage.On(\"RetieveData\", token).Return(\"\", errExpected)\n",
      "\n",
      "\t_, err := service.Retrieve(token)\n",
      "\n",
      "\tassert.Error(t, err)\n",
      "\tassert.Equal(t, errExpected, err)\n",
      "\n",
      "\tstorage.AssertExpectations(t)\n",
      "}\n",
      "```\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "Here is the unit test code for the ProcessingServiceImpl struct:\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"errors\"\n",
      "\t\"testing\"\n",
      "\n",
      "\t\"github.com/stretchr/testify/assert\"\n",
      "\t\"github.com/stretchr/testify/mock\"\n",
      ")\n",
      "\n",
      "type MockProcessor struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockProcessor) Process(raw string) (string, error) {\n",
      "\targs := m.Called(raw)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "type MockTokenCreator struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockTokenCreator) CreateToken(data string) string {\n",
      "\targs := m.Called(data)\n",
      "\treturn args.String(0)\n",
      "}\n",
      "\n",
      "type MockStorage struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockStorage) RetieveData(token string) (string, error) {\n",
      "\targs := m.Called(token)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "func (m *MockStorage) StoreData(token string, data string) error {\n",
      "\targs := m.Called(token, data)\n",
      "\treturn args.Error(0)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Process(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\traw := \"raw data\"\n",
      "\tprocessed := \"processed data\"\n",
      "\ttoken := \"token\"\n",
      "\n",
      "\tprocessor.On(\"Process\", raw).Return(processed, nil)\n",
      "\ttokenCreator.On(\"CreateToken\", processed).Return(token)\n",
      "\tstorage.On(\"StoreData\", token, processed).Return(nil)\n",
      "\n",
      "\tresult, err := service.Process(raw)\n",
      "\n",
      "\tassert.NoError(t, err)\n",
      "\tassert.Equal(t, token, result)\n",
      "\n",
      "\tprocessor.AssertExpectations(t)\n",
      "\ttokenCreator.AssertExpectations(t)\n",
      "\tstorage.AssertExpectations(t)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Process_Error(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\traw := \"raw data\"\n",
      "\terrExpected := errors.New(\"error\")\n",
      "\n",
      "\tprocessor.On(\"Process\", raw).Return(\"\", errExpected)\n",
      "\n",
      "\t_, err := service.Process(raw)\n",
      "\n",
      "\tassert.Error(t, err)\n",
      "\tassert.Equal(t, errExpected, err)\n",
      "\n",
      "\tprocessor.AssertExpectations(t)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Retrieve(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\ttoken := \"token\"\n",
      "\tdata := \"data\"\n",
      "\n",
      "\tstorage.On(\"RetieveData\", token).Return(data, nil)\n",
      "\n",
      "\tresult, err := service.Retrieve(token)\n",
      "\n",
      "\tassert.NoError(t, err)\n",
      "\tassert.Equal(t, data, result)\n",
      "\n",
      "\tstorage.AssertExpectations(t)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Retrieve_Error(t *testing.T) {\n",
      "\tprocessor := new(MockProcessor)\n",
      "\ttokenCreator := new(MockTokenCreator)\n",
      "\tstorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(processor, tokenCreator, storage)\n",
      "\n",
      "\ttoken := \"token\"\n",
      "\terrExpected := errors.New(\"error\")\n",
      "\n",
      "\tstorage.On(\"RetieveData\", token).Return(\"\", errExpected)\n",
      "\n",
      "\t_, err := service.Retrieve(token)\n",
      "\n",
      "\tassert.Error(t, err)\n",
      "\tassert.Equal(t, errExpected, err)\n",
      "\n",
      "\tstorage.AssertExpectations(t)\n",
      "}\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "print(write_unit_tests(src_dir+\"/demo/skeleton.go\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4dff4999",
   "metadata": {},
   "source": [
    "## 采用向量数据库保存遗留代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "861e2519",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "68\n"
     ]
    }
   ],
   "source": [
    "from langchain.text_splitter import Language\n",
    "from langchain.document_loaders.generic import GenericLoader\n",
    "from langchain.document_loaders.parsers import LanguageParser\n",
    "loader = GenericLoader.from_filesystem(\n",
    "    src_dir,\n",
    "    glob=\"**/*\",\n",
    "    suffixes=[\".go\"],\n",
    "    parser=LanguageParser(language=Language.GO, parser_threshold=500)\n",
    ")\n",
    "documents = loader.load()\n",
    "print(len(documents))\n",
    "\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "go_splitter = RecursiveCharacterTextSplitter.from_language(language=Language.GO, \n",
    "                                                               chunk_size=500, \n",
    "                                                               chunk_overlap=50)\n",
    "texts = go_splitter.split_documents(documents)\n",
    "print(len(texts))\n",
    "\n",
    "from langchain.vectorstores import Chroma\n",
    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
    "from langchain.chat_models import AzureChatOpenAI\n",
    "# embedding = OpenAIEmbeddings() #如果直接访问OpenAI的服务\n",
    "embedding = OpenAIEmbeddings(deployment=\"embedding\", chunk_size=10)\n",
    "persist_directory = 'codes/'\n",
    "db = Chroma.from_documents(texts, embedding, persist_directory=persist_directory)\n",
    "db.persist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f92adaeb",
   "metadata": {},
   "source": [
    "## 采用向量数据库实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4b340745",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chat_models import ChatOpenAI\n",
    "from langchain.chains import RetrievalQA\n",
    "# from langchain.chat_models import ChatOpenAI #直接访问OpenAI的GPT服务\n",
    "\n",
    "#llm = ChatOpenAI(model_name=\"gpt-4\", temperature=0) #直接访问OpenAI的GPT服务\n",
    "llm = AzureChatOpenAI(deployment_name = deployment, model_name=model, temperature=0.3, max_tokens=1000) #通过Azure的OpenAI服务\n",
    "\n",
    "retriever = db.as_retriever(search_type=\"mmr\", search_kwargs={\"k\": 8})\n",
    "qa = RetrievalQA.from_chain_type(llm=llm, chain_type=\"stuff\", retriever=retriever,\n",
    "                                 return_source_documents=False, verbose=True)\n",
    "\n",
    "def find_declarations(directory, json_string):\n",
    "    # Parse the JSON string\n",
    "    json_data = json.loads(json_string)\n",
    "    package_name = json_data[\"package_name\"]\n",
    "    element_name = json_data[\"element\"]\n",
    "    ret = qa(f\"give me the declaration of {element_name} in package {package_name}\")\n",
    "    return ret['result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e798077b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "In the package demo, the Storage interface is declared as follows:\n",
      "\n",
      "```go\n",
      "// Storage is to persist the data\n",
      "type Storage interface {\n",
      "\t// RetiveData is to retrive the data by the associated token.\n",
      "\tRetieveData(token string) (string, error)\n",
      "\n",
      "\t// StoreData is to persist the data,\n",
      "\t// input paramters:\n",
      "\t//   token is used to retrive the associated data\n",
      "\t//\n",
      "\tStoreData(token string, data string) error\n",
      "}\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "ret = find_declarations(src_dir, '{\"package_name\":\"demo\",\"element\":\"Storage\"}')\n",
    "print(ret)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "607255a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mFirst, I need to know what methods are in the demo.Storage interface.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"Storage\"}\u001b[0m\n",
      "\n",
      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "Observation: \u001b[36;1m\u001b[1;3mIn the package demo, the Storage interface is declared as follows:\n",
      "\n",
      "```go\n",
      "// Storage is to persist the data\n",
      "type Storage interface {\n",
      "\t// RetiveData is to retrive the data by the associated token.\n",
      "\tRetieveData(token string) (string, error)\n",
      "\n",
      "\t// StoreData is to persist the data,\n",
      "\t// input paramters:\n",
      "\t//   token is used to retrive the associated data\n",
      "\t//\n",
      "\tStoreData(token string, data string) error\n",
      "}\n",
      "```\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mNow I know the methods of the Storage interface. I need to implement these methods in a struct in the demo package.\n",
      "Final Answer: \n",
      "Here is the implementation of the demo.Storage interface with local memory:\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"errors\"\n",
      ")\n",
      "\n",
      "type LocalStorage struct {\n",
      "\tdata map[string]string\n",
      "}\n",
      "\n",
      "func NewLocalStorage() *LocalStorage {\n",
      "\treturn &LocalStorage{\n",
      "\t\tdata: make(map[string]string),\n",
      "\t}\n",
      "}\n",
      "\n",
      "func (ls *LocalStorage) RetieveData(token string) (string, error) {\n",
      "\tdata, ok := ls.data[token]\n",
      "\tif !ok {\n",
      "\t\treturn \"\", errors.New(\"data not found\")\n",
      "\t}\n",
      "\treturn data, nil\n",
      "}\n",
      "\n",
      "func (ls *LocalStorage) StoreData(token string, data string) error {\n",
      "\tls.data[token] = data\n",
      "\treturn nil\n",
      "}\n",
      "```\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "Here is the implementation of the demo.Storage interface with local memory:\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"errors\"\n",
      ")\n",
      "\n",
      "type LocalStorage struct {\n",
      "\tdata map[string]string\n",
      "}\n",
      "\n",
      "func NewLocalStorage() *LocalStorage {\n",
      "\treturn &LocalStorage{\n",
      "\t\tdata: make(map[string]string),\n",
      "\t}\n",
      "}\n",
      "\n",
      "func (ls *LocalStorage) RetieveData(token string) (string, error) {\n",
      "\tdata, ok := ls.data[token]\n",
      "\tif !ok {\n",
      "\t\treturn \"\", errors.New(\"data not found\")\n",
      "\t}\n",
      "\treturn data, nil\n",
      "}\n",
      "\n",
      "func (ls *LocalStorage) StoreData(token string, data string) error {\n",
      "\tls.data[token] = data\n",
      "\treturn nil\n",
      "}\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "write_code(\n",
    "\"\"\"\n",
    " You are a very senior golang programmer.\n",
    " Write the golang code to implement the demo.Storage interface with the local memory.\n",
    " The implementation's package also is demo\n",
    "\"\"\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f0d02b4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mI need to write unit tests for the methods Process and Retrieve of the ProcessingServiceImpl struct. To do this, I need to understand the interfaces Processor, TokenCreator, and Storage, which are not defined in the given code. I will use the find_declarations tool to find these interfaces.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"Processor\"}\u001b[0m\n",
      "\n",
      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "Observation: \u001b[36;1m\u001b[1;3mIn the package demo, the Processor is declared as an interface with the following definition:\n",
      "\n",
      "```go\n",
      "type Processor interface {\n",
      "\t// Process is to the raw data\n",
      "\tProcess(raw string) (string, error)\n",
      "}\n",
      "```\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mNow I know what the Processor interface looks like. I need to find the declarations for the TokenCreator and Storage interfaces next.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"TokenCreator\"}\u001b[0m\n",
      "\n",
      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "Observation: \u001b[36;1m\u001b[1;3mIn the package demo, the declaration of TokenCreator is as follows:\n",
      "\n",
      "```go\n",
      "type TokenCreator interface {\n",
      "    CreateToken(data string) string\n",
      "}\n",
      "```\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mNow I know what the TokenCreator interface looks like. I need to find the declaration for the Storage interface next.\n",
      "Action: find_declarations\n",
      "Action Input: {\"package_name\":\"demo\",\"element\":\"Storage\"}\u001b[0m\n",
      "\n",
      "\u001b[1m> Entering new RetrievalQA chain...\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "Observation: \u001b[36;1m\u001b[1;3mIn the package demo, the Storage interface is declared as follows:\n",
      "\n",
      "```go\n",
      "// Storage is to persist the data\n",
      "type Storage interface {\n",
      "\t// RetiveData is to retrive the data by the associated token.\n",
      "\tRetieveData(token string) (string, error)\n",
      "\n",
      "\t// StoreData is to persist the data,\n",
      "\t// input paramters:\n",
      "\t//   token is used to retrive the associated data\n",
      "\t//\n",
      "\tStoreData(token string, data string) error\n",
      "}\n",
      "```\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mNow I know what the Storage interface looks like. I have all the information I need to write the unit tests for the ProcessingServiceImpl struct. I will need to create mock implementations of the Processor, TokenCreator, and Storage interfaces to use in the tests.\n",
      "Final Answer: Here are the unit tests for the ProcessingServiceImpl struct:\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"errors\"\n",
      "\t\"testing\"\n",
      "\n",
      "\t\"github.com/stretchr/testify/mock\"\n",
      ")\n",
      "\n",
      "type MockProcessor struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockProcessor) Process(raw string) (string, error) {\n",
      "\targs := m.Called(raw)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "type MockTokenCreator struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockTokenCreator) CreateToken(data string) string {\n",
      "\targs := m.Called(data)\n",
      "\treturn args.String(0)\n",
      "}\n",
      "\n",
      "type MockStorage struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockStorage) RetieveData(token string) (string, error) {\n",
      "\targs := m.Called(token)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "func (m *MockStorage) StoreData(token string, data string) error {\n",
      "\targs := m.Called(token, data)\n",
      "\treturn args.Error(0)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Process(t *testing.T) {\n",
      "\tmockProcessor := new(MockProcessor)\n",
      "\tmockTokenCreator := new(MockTokenCreator)\n",
      "\tmockStorage := new(MockStorage)\n",
      "\n",
      "\tservice := NewProcessingService(mockProcessor, mockTokenCreator, mockStorage)\n",
      "\n",
      "\t// Test case: Processor returns an error\n",
      "\tmockProcessor.On(\"Process\", \"raw\").Return(\"\", errors.New(\"error\"))\n",
      "\t_, err := service.Process(\"raw\")\n",
      "\tif err == nil {\n",
      "\t\tt.Error(\"Expected an error, got nil\")\n",
      "\t}\n",
      "\n",
      "\t// Test case: Storage returns an error\n",
      "\tmockProcessor.On(\"Process\", \"raw\").Return(\"processed\", nil)\n",
      "\tmockTokenCreator.On(\"CreateToken\", \"processed\").Return(\"token\")\n",
      "\tmockStorage.On(\"StoreData\", \"token\", \"processed\").Return(errors.New(\"error\"))\n",
      "\t_, err = service.Process(\"raw\")\n",
      "\tif err == nil {\n",
      "\t\tt.Error(\"Expected an error, got nil\")\n",
      "\t}\n",
      "\n",
      "\t// Test case: Successful processing\n",
      "\tmockProcessor.On(\"Process\", \"raw\").Return(\"processed\", nil)\n",
      "\tmockTokenCreator.On(\"CreateToken\", \"processed\").Return(\"token\")\n",
      "\tmockStorage.On(\"StoreData\", \"token\", \"processed\").Return(nil)\n",
      "\ttoken, err := service.Process(\"raw\")\n",
      "\tif err != nil {\n",
      "\t\tt.Errorf(\"Expected nil, got error: %v\", err)\n",
      "\t}\n",
      "\tif token != \"token\" {\n",
      "\t\tt.Errorf(\"Expected token, got %v\", token)\n",
      "\t}\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Retrieve(t *testing.T) {\n",
      "\tmockStorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(nil, nil, mockStorage)\n",
      "\n",
      "\t// Test case: Storage returns an error\n",
      "\tmockStorage.On(\"RetieveData\", \"token\").Return(\"\", errors.New(\"error\"))\n",
      "\t_, err := service.Retrieve(\"token\")\n",
      "\tif err == nil {\n",
      "\t\tt.Error(\"Expected an error, got nil\")\n",
      "\t}\n",
      "\n",
      "\t// Test case: Successful retrieval\n",
      "\tmockStorage.On(\"RetieveData\", \"token\").Return(\"data\", nil)\n",
      "\tdata, err := service.Retrieve(\"token\")\n",
      "\tif err != nil {\n",
      "\t\tt.Errorf(\"Expected nil, got error: %v\", err)\n",
      "\t}\n",
      "\tif data != \"data\" {\n",
      "\t\tt.Errorf(\"Expected data, got %v\", data)\n",
      "\t}\n",
      "}\n",
      "```\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "Here are the unit tests for the ProcessingServiceImpl struct:\n",
      "\n",
      "```go\n",
      "package demo\n",
      "\n",
      "import (\n",
      "\t\"errors\"\n",
      "\t\"testing\"\n",
      "\n",
      "\t\"github.com/stretchr/testify/mock\"\n",
      ")\n",
      "\n",
      "type MockProcessor struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockProcessor) Process(raw string) (string, error) {\n",
      "\targs := m.Called(raw)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "type MockTokenCreator struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockTokenCreator) CreateToken(data string) string {\n",
      "\targs := m.Called(data)\n",
      "\treturn args.String(0)\n",
      "}\n",
      "\n",
      "type MockStorage struct {\n",
      "\tmock.Mock\n",
      "}\n",
      "\n",
      "func (m *MockStorage) RetieveData(token string) (string, error) {\n",
      "\targs := m.Called(token)\n",
      "\treturn args.String(0), args.Error(1)\n",
      "}\n",
      "\n",
      "func (m *MockStorage) StoreData(token string, data string) error {\n",
      "\targs := m.Called(token, data)\n",
      "\treturn args.Error(0)\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Process(t *testing.T) {\n",
      "\tmockProcessor := new(MockProcessor)\n",
      "\tmockTokenCreator := new(MockTokenCreator)\n",
      "\tmockStorage := new(MockStorage)\n",
      "\n",
      "\tservice := NewProcessingService(mockProcessor, mockTokenCreator, mockStorage)\n",
      "\n",
      "\t// Test case: Processor returns an error\n",
      "\tmockProcessor.On(\"Process\", \"raw\").Return(\"\", errors.New(\"error\"))\n",
      "\t_, err := service.Process(\"raw\")\n",
      "\tif err == nil {\n",
      "\t\tt.Error(\"Expected an error, got nil\")\n",
      "\t}\n",
      "\n",
      "\t// Test case: Storage returns an error\n",
      "\tmockProcessor.On(\"Process\", \"raw\").Return(\"processed\", nil)\n",
      "\tmockTokenCreator.On(\"CreateToken\", \"processed\").Return(\"token\")\n",
      "\tmockStorage.On(\"StoreData\", \"token\", \"processed\").Return(errors.New(\"error\"))\n",
      "\t_, err = service.Process(\"raw\")\n",
      "\tif err == nil {\n",
      "\t\tt.Error(\"Expected an error, got nil\")\n",
      "\t}\n",
      "\n",
      "\t// Test case: Successful processing\n",
      "\tmockProcessor.On(\"Process\", \"raw\").Return(\"processed\", nil)\n",
      "\tmockTokenCreator.On(\"CreateToken\", \"processed\").Return(\"token\")\n",
      "\tmockStorage.On(\"StoreData\", \"token\", \"processed\").Return(nil)\n",
      "\ttoken, err := service.Process(\"raw\")\n",
      "\tif err != nil {\n",
      "\t\tt.Errorf(\"Expected nil, got error: %v\", err)\n",
      "\t}\n",
      "\tif token != \"token\" {\n",
      "\t\tt.Errorf(\"Expected token, got %v\", token)\n",
      "\t}\n",
      "}\n",
      "\n",
      "func TestProcessingServiceImpl_Retrieve(t *testing.T) {\n",
      "\tmockStorage := new(MockStorage)\n",
      "\tservice := NewProcessingService(nil, nil, mockStorage)\n",
      "\n",
      "\t// Test case: Storage returns an error\n",
      "\tmockStorage.On(\"RetieveData\", \"token\").Return(\"\", errors.New(\"error\"))\n",
      "\t_, err := service.Retrieve(\"token\")\n",
      "\tif err == nil {\n",
      "\t\tt.Error(\"Expected an error, got nil\")\n",
      "\t}\n",
      "\n",
      "\t// Test case: Successful retrieval\n",
      "\tmockStorage.On(\"RetieveData\", \"token\").Return(\"data\", nil)\n",
      "\tdata, err := service.Retrieve(\"token\")\n",
      "\tif err != nil {\n",
      "\t\tt.Errorf(\"Expected nil, got error: %v\", err)\n",
      "\t}\n",
      "\tif data != \"data\" {\n",
      "\t\tt.Errorf(\"Expected data, got %v\", data)\n",
      "\t}\n",
      "}\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "print(write_unit_tests(src_dir+\"/demo/skeleton.go\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0199329",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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